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The Imaging Company
Eefde, Netherlands
A
1-10 Employees
2021
Key takeaway
The Imaging Company offers a newly released deep learning software called Neuro-X, specifically optimized for creating deep learning models. With over 25 years of experience in machine vision, the company is well-equipped to provide relevant advice and solutions for various applications.
Reference
Product
Deep Learning - The imaging company
Deeplabs
Milan, Italy
B
1-10 Employees
2021
Key takeaway
Deeplabs S.r.l. specializes in developing Machine Learning software, notably their flagship product, Deepyt®, which is a no-code platform designed for machine learning applications in industrial engineering. Deepyt® enhances product development by forecasting and optimizing performance based on historical data, making it a valuable tool for those interested in deep learning solutions.
Reference
Core business
Deeplabs | AI & Machine Learning software
Deeplabs S.r.l. - Machine Learning software and services for industrial engineering design. Discover Deepyt, require your free demo!
FloydHub
San Francisco, United States
B
1-10 Employees
2016
Key takeaway
The company specializes in deep learning and artificial intelligence, offering cloud GPU services that are essential for developing and deploying deep learning applications.
Reference
Core business
FloydHub Blog
Deep Learning • Artificial Intelligence • Cloud GPUs
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Deep Learning Analytics
Old Toronto, Canada
A
11-50 Employees
2017
Key takeaway
Deep Learning Analytics is a specialized consulting firm that focuses on data science, machine learning, and artificial intelligence, having successfully implemented over 60 deep learning projects across various sectors. Their expertise in computer vision and natural language processing makes them a valuable partner for organizations looking to leverage deep learning solutions.
Reference
Core business
Data Science and Machine Learning Consulting | Deep Learning Analytics
We are a consulting firm specializing in data science, machine learning, and artificial intelligence. We build machine learning model for computer vision and NLP applications
Artillery
San Francisco, United States
B
11-50 Employees
2018
Key takeaway
DeepSig offers deep learning software specifically for communications, utilizing machine learning and artificial intelligence to create optimized models directly from data. This innovative approach replaces traditional algorithm design with AI-based methods, enhancing computational efficiency and power for various applications within the 5G stack.
Reference
Product
Deep Learning Software for Communications | DeepSig, USA
DeepSig uses Machine Learning (ML) and Artificial Intelligence (AI) to learn optimized models directly from data rather than manually designing specialized algorithms. This process, replacing hand-engineering algorithms with AI-based equivalents that use machine learning, will bring significant computational and power benefits to many areas of the 5G stack.
Artificial Learning
London, United Kingdom
A
1-10 Employees
2012
Key takeaway
Artificial Learning Ltd is developing deep learning solutions by integrating advanced machine learning algorithms into ASICs, highlighting their focus on deep hardware for enhanced deep learning applications.
Reference
Product
Deep hardware for deep learning | Artificial Learning
Deeplab
Athens, Greece
B
11-50 Employees
2016
Key takeaway
The company specializes in deep learning and machine learning, focusing on innovative AI-powered solutions that enhance key performance indicators for products serving billions of users. They emphasize research in areas like Transfer and Continual Learning, with applications in Computer Vision and Language, and provide robust infrastructure for scalable deep learning projects.
Reference
Product
Technology : Deeplab
DEEPCLOUDLABS
Istanbul, Turkey
C
1-10 Employees
2018
Key takeaway
DeepCloudLabs specializes in AI and Machine Learning, offering consulting services that include expertise in deep learning software and hands-on training. Their focus on advanced data science and cognitive technology aims to enhance accuracy and productivity in data processing.
Reference
Core business
DeepCloudLabs - Advanced Data Science | AI | Machine Learning | Cloud-Native Applications | AI/ML Bootcamps
OpenDL
Chennai, India
D
1-10 Employees
2018
Key takeaway
OpenDL is a non-profit deep learning research organization that applies advanced techniques to accelerate artificial general intelligence, particularly in the fields of Legal, Health, and Agriculture. Their focus on creating a data refinery and enhancing data preparation processes underscores their commitment to advancing digital intelligence and ensuring its benefits are widely distributed.
Reference
Core business
Deep Learning | OpenDL
OpenDL is a non-profit Deep Learning research organisation discovering and accelerating artificial general intelligence studies to achieve competitive edge in the field of Legal, Health and Agriculture
EDGENeural.ai
Pune, India
D
1-10 Employees
2019
Key takeaway
EDGENeural is developing a modular, hardware-agnostic platform that facilitates the end-to-end workflow for AI engineers to build, train, optimize, and deploy deep learning models efficiently on Edge devices. Their commitment to accelerating Edge AI development empowers developers to create and deploy high-performance AI applications across various hardware platforms.
Reference
Core business
End-To-End Workflow Solution For Edge AI Models | EDGENeural.ai
EDGENeural.ai is an end-to-end Edge AI platform enabling developers to train, optimize and deploy blazing-fast deep learning models on any hardware, in a matter of weeks.
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
Deep Learning
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Deep learning software is a specialized tool designed to facilitate the development and deployment of deep learning models. These models, which are a subset of machine learning, utilize neural networks with multiple layers to analyze complex data patterns. With the capacity to process vast amounts of data, deep learning software enables tasks such as image recognition, natural language processing, and autonomous decision-making. Many deep learning software providers offer frameworks that support various programming languages, making it easier for developers to create, train, and optimize neural networks. Some popular frameworks include TensorFlow, PyTorch, and Keras, each providing unique features that cater to specific needs in deep learning applications. This software is essential for researchers and businesses aiming to leverage artificial intelligence for predictive analytics and automation.
Deep learning software operates through advanced algorithms that mimic the human brain's neural networks. These systems analyze vast amounts of data, identifying patterns and features within the information. By utilizing multiple layers of processing, often referred to as deep neural networks, the software can learn complex representations of data, allowing it to perform tasks such as image recognition, natural language processing, and more. During the training process, the software adjusts its internal parameters based on the input data and the desired output. This iterative learning process enables the system to improve its accuracy over time. Once trained, deep learning software can make predictions or classifications on new, unseen data, showcasing its capability to generalize from the training examples.
1. Improved Accuracy
Deep learning software excels at recognizing patterns in large datasets, which often leads to significantly improved accuracy in predictions and classifications. This capability is particularly beneficial in fields such as healthcare, finance, and autonomous vehicles, where precision is crucial.
2. Automation of Complex Tasks
By leveraging deep learning algorithms, businesses can automate complex tasks that would otherwise require human intelligence. This includes image and speech recognition, natural language processing, and even predictive analytics, resulting in enhanced operational efficiency.
Various industries leverage Deep Learning Software to enhance operations and drive innovation.
1. Healthcare
In the healthcare sector, deep learning is utilized for medical image analysis, predictive diagnostics, and personalized treatment plans, improving patient outcomes and streamlining processes.
2. Finance
The finance industry employs deep learning for fraud detection, risk assessment, and algorithmic trading, enabling more accurate predictions and enhanced security measures.
3. Automotive
Automotive manufacturers harness deep learning for autonomous vehicle technology, including object detection and driver assistance systems, contributing to safer and more efficient transportation solutions.
4. Retail
In retail, deep learning aids in customer behavior analysis, inventory management, and personalized marketing strategies, enhancing the shopping experience and optimizing supply chains.
5. Manufacturing
Manufacturers utilize deep learning for predictive maintenance, quality control, and process automation, resulting in increased efficiency and reduced downtime in production lines.
1. Model Support
Look for software that supports a wide range of deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. This versatility allows users to implement various architectures tailored to specific tasks.
2. Ease of Use
User-friendly interfaces and comprehensive documentation are essential. This ensures that both beginners and experienced developers can efficiently navigate the software and utilize its features without extensive learning curves.
3. Performance Optimization
High-performance capabilities are crucial, including GPU acceleration and distributed computing options. These features enable faster training and processing of large datasets, which is vital for deep learning applications.
4. Integration and Compatibility
The software should seamlessly integrate with various data sources, libraries, and frameworks. Compatibility with popular programming languages like Python or R can enhance its usability in diverse development environments.
5. Community and Support
A strong community and responsive support can significantly enhance the user experience. Access to forums, tutorials, and customer service ensures users can resolve issues and share knowledge effectively.
Some interesting numbers and facts about your company results for Deep Learning Software
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 9499 |
| Amount of suitable service providers | 7376 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2012 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Deep Learning Software
What are related technologies to Deep Learning Software?
Based on our calculations related technologies to Deep Learning Software are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Deep Learning Software?
Start-Ups who are working in Deep Learning Software are The Imaging Company, Deeplabs
Which industries are mostly working on Deep Learning Software?
The most represented industries which are working in Deep Learning Software are IT, Software and Services, Other, Education, Consulting, Marketing Services
How does ensun find these Deep Learning Software Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
